系统工程与电子技术 ›› 2019, Vol. 41 ›› Issue (9): 1967-1972.doi: 10.3969/j.issn.1001-506X.2019.09.08

• 传感器与信号处理 • 上一篇    下一篇

高分辨距离像辅助的机动目标跟踪算法

刘代1,2, 赵永波1, 周永伟2, 陈明哲2, 李伟2   

  1. 1.西安电子科技大学雷达信号处理国家重点实验室, 陕西 西安 710071; 2. 西安电子工程研究所, 陕西 西安 710100)
  • 出版日期:2019-08-27 发布日期:2019-08-20

Maneuvering target tracking algorithm aided by a high resolution range profile

LIU Dai1,2, ZHAO Yongbo1, ZHOU Yongwei2, CHEN Mingzhe2, LI Wei2   

  1. 1. National Lab of Radar Signal Processing, Xidian University, Xi’an 710071, China; 2. Xi’an Electronic Engineering Research Institute, Xi’an 710100, China
  • Online:2019-08-27 Published:2019-08-20

摘要:

宽带相控阵雷达可以获得高分辨距离像,利用此特征获取目标的姿态角成为了一种可能,基于此提出了一种新的机动目标跟踪算法,充分利用高分辨距离像特征,实时估计目标姿态角,并将姿态角信息融合到雷达的量测方程,本文结合先进的非线性滤波算法,提出了利用姿态角的交互多模型不敏卡尔曼滤波算法。通过计算机仿真表明,利用目标姿态角的机动目标跟踪算法相比传统算法目标跟踪精度(位置精度和速度精度)得到很大提高。同时姿态角误差越小,目标跟踪性能越好。

关键词: 高分辨距离像, 姿态角, 机动目标跟踪, 非线性

Abstract:

Wideband phased array radar can obtain high resolution range profile (HRRP), which makes it possible to obtain the pose of the target aided by HRRP. A new maneuvering target tracking algorithm based on HRRP is proposed. Firstly, the pose of the target is estimated in real time by HRRP, and then the pose is added to the measurement equation of the radar. Combining the advanced nonlinear filter algorithm, the interacting multiple model-unscented Kalman filter algorithm based on the pose of the target is proposed. The results of simulation demonstrate that compared with the traditional algorithm, the proposed algorithm could greatly improve the target tracking accuracy (position precision and velocity precision). The smaller the pose measurement error is, the better the target tracking performance is.

Key words: high resolution range profile (HRRP), pose, maneuvering target tracking, nonlinear